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tensorflow/c/eager/parallel_device/parallel_device_lib.h
class DeviceThread; // Forwards operations to `devices`, maintaining ParallelTensor with components // placed on each underlying device. class ParallelDevice { public: // Eager async execution is only supported when remote eager is not in use // (b/157523095). explicit ParallelDevice(const std::vector<std::string>& devices, bool is_async = false, int in_flight_nodes_limit = 0); ~ParallelDevice();
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
// A tensorflow.ServerDef specifies remote workers (in addition to the current // workers name). Operations created in this context can then be executed on // any of these remote workers by setting an appropriate device. // // If the following is set, all servers identified by the // ServerDef must be up when the context is created. TF_CAPI_EXPORT extern void TFE_ContextSetServerDef(TFE_Context* ctx,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
tensorflow/c/eager/tape.h
// gradients available initially). // // Then we repeatedly pop an entry from the stack, run its backprop, and update // the gradients of its inputs. Once we have computed all gradients for a single // input we can mark this input as done, and this can trigger adding an entry to // the stack if all outputs of that entry are now done. // // When the stack is empty we have gradients for all tensors we're interested // in.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/c_api_experimental.h
// // The API here is subject to changes in the future. // -------------------------------------------------------------------------- #ifdef __cplusplus extern "C" { #endif // When `enable` is true, set // tensorflow.ConfigProto.OptimizerOptions.global_jit_level to ON_1, and also // set XLA flag values to prepare for XLA compilation. Otherwise set // global_jit_level to OFF. //
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 15.1K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
// APIs for generically dealing with op attributes (e.g. when forwarding them // through custom device implementations). // // TODO(allenl): Currently these are black boxes, but we should have some way to // inspect values. This would let people e.g. copy over most attributes and then // modify some based on their values. // A reference to an op's name -> attribute mapping
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler.h
// nodes. This may cause incorrectness in graph analyses, but is useful for // simulation or scheduling. // If aggressive_shape_inference is true, nodes are executed on the host to // identify output values when possible and does other aggressive strategies. // This may cause incorrectness in graph analyses, but is useful for simulation // or scheduling. // If include_input_tensor_values is true, the values of constant
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Aug 03 18:08:43 GMT 2022 - 12.5K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.h
/// This class should be shared by read-only random access files on a remote /// filesystem (e.g. GCS). class RamFileBlockCache { public: /// The callback executed when a block is not found in the cache, and needs to /// be fetched from the backing filesystem. This callback is provided when the /// cache is constructed. It returns total bytes read ( -1 in case of errors /// ). The `status` should be `TF_OK` as long as the read from the remote
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Aug 31 04:46:34 GMT 2020 - 10.6K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_context.h
// TF eager runtime. // TODO(b/172877902): These helper functions are currently used to support // PyFuncOp on TFRT, and might be useful for ops that directly use low // level TF APIs. Remove/replace the following functions when TFRT native // ops are implemented. //===--------------------------------------------------------------------===// // Create an abstract tensor handle from tensorflow::Tensor.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0)